code: def test_gaussian_right_tail_capping_when_fold_is_1(df_normal_dist):
      # test case 1: mean and std, right tail
      transformer = OutlierTrimmer(
          capping_method="gaussian", tail="right", fold=1
      )
      X = transformer.fit_transform(df_normal_dist)
  
      # expected output
      df_transf = df_normal_dist.copy()
      inliers = df_transf["var"].le(0.10727677848029868)
      df_transf = df_transf.loc[inliers]
  
      # test transform output
      pd.testing.assert_frame_equal(X, df_transf)
      assert len(X) == 83
  
file_path: feature_engine/tests/test_outliers/test_outlier_trimmer.py
imports: import pandas
  import pytest
  from feature_engine.outliers import OutlierTrimmer
label_desc: Use image node_id 1 for calling a global function with example usage: test_gaussian_right_tail_capping_when_fold_is_1(df_normal_dist) without return types